| KSPMI: a knowledge-based system for predictive maintenance in industry 4.0 Q Cao, C Zanni-Merk, A Samet, C Reich, FDB De Beuvron, A Beckmann, ... Robotics and Computer-Integrated Manufacturing 74, 102281, 2022 | 99 | 2022 |
| Smart condition monitoring for industry 4.0 manufacturing processes: An ontology-based approach Q Cao, F Giustozzi, C Zanni-Merk, F de Bertrand de Beuvron, C Reich Cybernetics and Systems 50 (2), 82-96, 2019 | 92 | 2019 |
| An ontology-based approach for failure classification in predictive maintenance using fuzzy C-means and SWRL rules Q Cao, A Samet, C Zanni-Merk, FDB De Beuvron, C Reich Procedia Computer Science 159, 630-639, 2019 | 49 | 2019 |
| Ontologies for manufacturing process modeling: A survey Q Cao, C Zanni-Merk, C Reich International conference on sustainable design and manufacturing, 61-70, 2018 | 47 | 2018 |
| Industrial big data–based scheduling modeling framework for complex manufacturing system X Zhu, F Qiao, Q Cao Advances in Mechanical Engineering 9 (8), 1687814017726289, 2017 | 35 | 2017 |
| Combining chronicle mining and semantics for predictive maintenance in manufacturing processes Q Cao, A Samet, C Zanni-Merk, F de Bertrand de Beuvron, C Reich Semantic Web 11 (6), 927-948, 2020 | 32 | 2020 |
| Semantic asset administration shells in industry 4.0: A survey S Beden, Q Cao, A Beckmann 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems …, 2021 | 21 | 2021 |
| A core reference ontology for steelmaking process knowledge modelling and information management Q Cao, S Beden, A Beckmann Computers in Industry 135, 103574, 2022 | 20 | 2022 |
| Using rule quality measures for rule base refinement in knowledge-based predictive maintenance systems Q Cao, C Zanni-Merk, A Samet, FDB De Beuvron, C Reich Cybernetics and Systems 51 (2), 161-176, 2020 | 17 | 2020 |
| SCRO: A domain ontology for describing steel cold rolling processes towards industry 4.0 S Beden, Q Cao, A Beckmann Information 12 (8), 304, 2021 | 10 | 2021 |
| Intelligent predictive maintenance of hydraulic systems based on virtual knowledge graph W Yan, Y Shi, Z Ji, Y Sui, Z Tian, W Wang, Q Cao Engineering Applications of Artificial Intelligence 126, 106798, 2023 | 8 | 2023 |
| Towards a core ontology for condition monitoring Q Cao, C Zanni-Merk, C Reich Procedia Manufacturing 28, 177-182, 2019 | 8 | 2019 |
| Semantic Technologies for the Modeling of Condition Monitoring Knowledge in the Framework of Industry 4.0. Q Cao EKAW (Doctoral Consortium), 2018 | 6 | 2018 |
| Manufacturing as a service in industry 4.0: a multi-objective optimization approach GH A. Medeiros, Q Cao, C Zanni-Merk, A Samet Intelligent Decision Technologies: Proceedings of the 12th KES International …, 2020 | 5 | 2020 |
| Combining Evidential Clustering and Ontology Reasoning for Failure Prediction in Predictive Maintenance. Q Cao, A Samet, C Zanni-Merk, FB de Beuvron, C Reich ICAART (2), 618-625, 2020 | 3 | 2020 |
| Towards an Ontological Representation of Condition Monitoring Knowledge in the Manufacturing Domain. Q Cao, C Zanni-Merk, C Reich KEOD, 310-316, 2018 | 3 | 2018 |
| A Survey of Electric Load Forecasting Algorithm Models Q Cao Highlights in Science, Engineering and Technology 9, 469-483, 2022 | 1 | 2022 |
| A rule-based heuristic methodology for su-field analysis in industrial engineering design W Yan, C Zanni-Merk, D Cavallucci, Q Cao, L Zhang, Z Ji Information 13 (3), 143, 2022 | 1 | 2022 |
| Semantic technologies for the modeling of predictive maintenance for a SME network in the framework of industry 4.0 Q Cao Normandie Université, 2020 | 1 | 2020 |
| A Knowledge Graph-based Approach for the Quality Management of Bosch Products Q Cao, I Grangel-González, L Du | | 2023 |
